Power BI and AI Essentials

Day 1: Getting Started with Power BI

Learning Objectives:

• Understand Power BI basics and its application in data analysis.
• Explore and clean raw datasets.
• Build simple data models.

Agenda:

• Overview of Power BI features and interface.
• Importing and exploring datasets.
• Basic data cleaning and preparation.
• Creating simple visualizations.

Day 2: Data Modeling and Transformation

Learning Objectives:

• Develop effective data models.
• Transform data for better insights.
• Learn data relationships and advanced preparation techniques.

Agenda:

• Building relationships between tables.
• Data transformation with Power Query.
• Creating and customizing visuals.
• Hands-on practice with curated datasets.

Day 3: Machine Learning in Power BI

Learning Objectives:

• Build and evaluate machine learning models.
• Use predictive analytics to solve real-world problems.

Agenda:

• Overview of machine learning in Power BI.
• Building predictive models (e.g., regression, classification).
• Evaluating and interpreting ML results.
• Practical exercises with sample scenarios.

Day 4: AI and Real-World Applications

Learning Objectives:

• Integrate AI tools (OpenAI) with Power BI.
• Build AI-driven workflows for actionable insights.

Agenda:

• Introduction to OpenAI integration.
• Using AI for natural language queries and insights.
• Final project: Develop a BI solution with ML and AI features.
• Wrap-up and discussion of best practices.

Instructor Kit

(PPTX/PDF of Slides + Optional Instructor Notes)
Comprehensive slide deck with detailed content covering all modules, plus optional instructor notes to enhance teaching effectiveness.

Student Kit / Handout

(with Free Branding)
Professionally designed handouts for students, including all essential course information and customizable branding options for your organization.

Course Agenda / Outline

Detailed day-by-day course agenda and outline, ensuring smooth course delivery and a structured learning experience for students.

Study Guide

A concise guide summarizing key concepts and topics covered in the course, perfect for post-course review and exam preparation.

FAQ

Answers to commonly asked questions about the course content, delivery, and labs to support instructors and students.

Briefing Doc

A high-level document summarizing the course objectives, target audience, and key learning outcomes, ideal for internal use and marketing.

Sales Enablement Kit for IT Training Sales Engineers

(Additional Fee)
Exclusive toolkit designed for IT training sales teams, including pitch decks, objection handling, and ROI documentation to support course sales.

Course AI GPT

(Course Assistant GPT so students can talk to the course materials!)
A cutting-edge AI-driven assistant that allows students to interact with course content, ask questions, and receive instant feedback.

Optional Podcast

(of the entire course or for each individual module)
Engaging audio content covering the entire course or individual modules, perfect for on-the-go learning or reinforcement.

Lab Guide

(Lab Environments are additional and can be found at CourseLabs.io)
Step-by-step lab guide to support hands-on learning, with lab environments available separately at CourseLabs.io.

Lab Files

(If you choose to host your own lab environment)
All necessary files and instructions for setting up and running labs in your own environment, offering flexibility in deployment.

Power BI Desktop: April 2023 or newer

Power BI Cloud Service: Power BI Premium, Premium Per User, Pro License

OpenAI/Azure OpenAI: text-davinci-003 or latest stable version

Python and R: Latest stable versions (compatible with Power BI Desktop)

Data Sources: FAA Wildlife Strike Data (GitHub)

Course Objectives

This course is designed to empower participants with advanced skills in data visualization, machine learning, and AI technologies. By the end of this program, students will:

• Master Power BI tools for creating dynamic dashboards and insightful visualizations.
• Understand core concepts of machine learning and how to apply them for predictive analytics.
• Learn to integrate OpenAI tools for natural language processing, automation, and business innovation.
• Gain hands-on experience with real-world datasets and practical AI applications.

Learning Objectives

Participants will:

• Analyze and visualize data using Power BI, creating reports that drive actionable insights.
• Build machine learning models to predict trends and inform decision-making.
• Leverage OpenAI technologies to streamline processes and innovate workflows.
• Develop confidence in using Power BI and AI tools for practical, high-impact projects.

Who This Course Is For

This course is tailored for:

• Data analysts and business intelligence professionals seeking to advance their skills.
• Developers and technical teams exploring machine learning and AI integrations.
• High-tech professionals looking to enhance their data visualization and predictive modeling capabilities.
• Organizations aiming to upskill teams for a data-driven future.

Course Format

This course is 50% lecture and 50% hands-on labs, ensuring a balanced approach that combines theoretical understanding with practical application.

Flexible Customization

All courseware is fully customizable to meet your needs. In addition to the standard 5-day format, this course can be tailored into:

• 4-day, 3-day, 2-day, or 1-day versions
• Cost: $40/student per day